LearnFlat · AI Applications (Interdisciplinary) · AI for Agriculture (AgriTech)

Automated Pest & Disease Detection

Build and deploy computer vision models to automatically detect and identify pests, weeds, and diseases from images, enabling early intervention and targeted treatments.

Automated Pest & Disease Detection

Stock Market Analysis with Python: Data Collection and Backtesting

Python for Stock Market Analysis: Hypothesis and Backtesting Basics

Practical Python: Mastering Modules and Package Management

Python Web Scraping for Beginners: Parse HTML and Understand the Web

Python Programming Basics: Building Your First Object-Oriented Project

Python Functions for Beginners: Write Reusable and Clean Code

Python for Excel Automation and Business Efficiency

Python Programming: Step-by-Step Guide

Unicornscan for Network Security Scanning

Zero-Shot Text Classification with Python & Hugging Face

Saving and Loading XGBoost Models

Python BaseManager: Share Objects Across Processes

Binary Classification Fundamentals with PyTorch

Anomaly Detection with Local Outlier Factor and PyCaret

Concurrent OCR API Development with FastAPI and Asyncio

PyCaret Foundations: Environment Setup and Anomaly Detection

Classifying Non-Linear Data with Support Vector Machines

Demographic Facial Analysis with DeepFace and MediaPipe in Python

Graph Algorithms in Python: Finding Paths with Breadth-First Search

Facial Detection and Bounding Boxes with Python and Azure Face API

Asynchronous File Downloads with Python and aiohttp

Transitioning from NumPy to JAX for High-Performance Python

Automating PDF Page Reordering and Shuffling with Python

Python Multiprocessing Locks: Safe Resource Access